Exemple #1
0
    def plot_distance_landscape_projection(self,
                                           x_axis,
                                           y_axis,
                                           ax=None,
                                           *args,
                                           **kwargs):
        """
        Plots the distance landscape jointly-generated from all the results

        :param x_axis: symbol to plot on x axis
        :param y_axis: symbol to plot on y axis
        :param ax: axis object to plot onto
        :param args: arguments to pass to :func:`matplotlib.pyplot.contourf`
        :param kwargs: keyword arguments to pass to :func:`matplotlib.pyplot.contourf`
        :return:
        """

        # Gather all x, y, z's to plot first as this would make the gradient landscape better
        x_all, y_all, z_all = [], [], []
        for result in self.results:
            x, y, z = result.distance_landscape_as_3d_data(x_axis, y_axis)
            x_all.extend(x)
            y_all.extend(y)
            z_all.extend(z)

        # Now plot the contour for x_all, y_all and z_all
        plot_contour(x_all,
                     y_all,
                     z_all,
                     x_axis,
                     y_axis,
                     ax=ax,
                     *args,
                     **kwargs)
Exemple #2
0
    def plot_distance_landscape_projection(self, x_axis, y_axis, ax=None, *args, **kwargs):
        """
        Plots the projection of distance landscape (if it was returned), onto the
        parameters specified

        :param x_axis: symbol to plot on x axis
        :param y_axis: symbol to plot on y axis
        :param ax: axis object to plot onto
        :param args: arguments to pass to :func:`matplotlib.pyplot.contourf`
        :param kwargs: keyword arguments to pass to :func:`matplotlib.pyplot.contourf`
        :return:
        """
        x, y, z = self.distance_landscape_as_3d_data(x_axis, y_axis)
        plot_contour(x, y, z, x_axis, y_axis, ax=ax, *args, **kwargs)
Exemple #3
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    def plot_distance_landscape_projection(self,
                                           x_axis,
                                           y_axis,
                                           ax=None,
                                           *args,
                                           **kwargs):
        """
        Plots the projection of distance landscape (if it was returned), onto the
        parameters specified

        :param x_axis: symbol to plot on x axis
        :param y_axis: symbol to plot on y axis
        :param ax: axis object to plot onto
        :param args: arguments to pass to :func:`matplotlib.pyplot.contourf`
        :param kwargs: keyword arguments to pass to :func:`matplotlib.pyplot.contourf`
        :return:
        """
        x, y, z = self.distance_landscape_as_3d_data(x_axis, y_axis)
        plot_contour(x, y, z, x_axis, y_axis, ax=ax, *args, **kwargs)
Exemple #4
0
    def plot_distance_landscape_projection(self, x_axis, y_axis, ax=None, *args, **kwargs):
        """
        Plots the distance landscape jointly-generated from all the results

        :param x_axis: symbol to plot on x axis
        :param y_axis: symbol to plot on y axis
        :param ax: axis object to plot onto
        :param args: arguments to pass to :func:`matplotlib.pyplot.contourf`
        :param kwargs: keyword arguments to pass to :func:`matplotlib.pyplot.contourf`
        :return:
        """

        # Gather all x, y, z's to plot first as this would make the gradient landscape better
        x_all, y_all, z_all = [], [], []
        for result in self.results:
            x, y, z = result.distance_landscape_as_3d_data(x_axis, y_axis)
            x_all.extend(x)
            y_all.extend(y)
            z_all.extend(z)

        # Now plot the contour for x_all, y_all and z_all
        plot_contour(x_all, y_all, z_all, x_axis, y_axis, ax=ax, *args, **kwargs)